Thomas Dohmke

# Fireside Chat Proposal: What is the future of the SDLC? The tools and processes we use to ship software — tickets, repos, pull requests, deployments — were designed for humans writing every line of code. That world is over. ## Discussion Points ### What does the "next GitHub" need to look like? Is there even such a thing? What would a platform built from the ground up for the AI era actually require? ### What's broken about the developer lifecycle as we know it The manual system of software production — from issues to git repositories to pull requests to deployment — was never designed for the era of AI. Where are the biggest seams showing? ### The review bottleneck: is code review a dying paradigm? Despite the boom in agent-generated code, the human developer still sits at the center of the pull request. Traditional code review assumes a human wrote every line and can explain every decision — but when an AI agent generates hundreds of lines from a brief prompt, reviewers face a fundamentally different challenge. How do teams adapt? ### The economics of agentic development In 2026, headcount can no longer be measured in salaries and benefits alone. Tokens are a real cost, with engineers reporting thousands of dollars a month in usage. How should engineering leaders think about this new variable? ### What "agent-native" tooling actually looks like The unit of work is shifting — from code as output to code-plus-context (prompts, reasoning, decisions) as the artifact. What does tooling built around that reality look like in practice?